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experimental sites • coordinate and perform soil health analysis across all experimental sites • derive cause-effect relationships between drivers (regenerative practices), mediators (soil organisms) and impacts
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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable
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analysis or machine learning (ideally, we will recruit one candidate with specific specialization in machine learning and one student with specific specialization in statistics and data analysis; familiarity
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data analysis and biomarker discovery • Collaborate with a multidisciplinary team of researchers and clinicians • Engage with the International PSC Study Group, a global research consortium • Work in
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conduct stability, reactivity and possible semi-synthesis study of selected bioactive SLs. • You perform a mix of chemical laboratory work and data analysis of natural products. • You contribute to a
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the field of Geospatial AI (GeoAI) and Geography of Crime. The joint research team hosts more than 30 researchers, focusing on GeoAI, spatio-temporal data analysis, location based services (LBS), urban
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genomics/transcriptomics and differential expression analysis. You will integrate experimental and genomic data to identify the evolutionary genetic background of climate adaptation in diatoms. Data
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): molecular analysis of microbial community composition ILVO Plant (and Laboratory of Agrozoology, FBE-UGent) (prof. Wim Wesemael): biology and management of plant-parasitic nematodes, morphological and
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, preparing data collection (e.g., setting up questionnaire), collecting both qualitative and quantitative data, coordinating with the app developer. Data analysis, including both qualitative and especially
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic